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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 17 of 17 1 Spatial IQ Test for AI Hilton, Erwin; Liao, Qianli; Poggio, Tomaso. - 2017 BASE Show details 2 Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing Tan, Cheston; Poggio, Tomaso. - : Public Library of Science, 2016 BASE Show details 3 Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing Tan, Cheston; Poggio, Tomaso A In: Public Library of Science (2016) BASE Show details 4 Neural tuning size is a key factor underlying holistic face processing Tan, Cheston; Poggio, Tomaso. - : Center for Brains, Minds and Machines (CBMM), arXiv, 2014 Abstract: Faces are a class of visual stimuli with unique significance, for a variety of reasons. They are ubiquitous throughout the course of a person’s life, and face recognition is crucial for daily social interaction. Faces are also unlike any other stimulus class in terms of certain physical stimulus characteristics. Furthermore, faces have been empirically found to elicit certain characteristic behavioral phenomena, which are widely held to be evidence of “holistic” processing of faces. However, little is known about the neural mechanisms underlying such holistic face processing. In other words, for the processing of faces by the primate visual system, the input and output characteristics are relatively well known, but the internal neural computations are not. The main aim of this work is to further the fundamental understanding of what causes the visual processing of faces to be different from that of objects. In this computational modeling work, we show that a single factor – “neural tuning size” – is able to account for three key phenomena that are characteristic of face processing, namely the Composite Face Effect (CFE), Face Inversion Effect (FIE) and Whole ‐ Part Effect (WPE). Our computational proof ‐ of ‐ principle provides specific neural tuning properties that correspond to the poorly ‐ understood notion of holistic face processing, and connects these neural properties to psychophysical behavior. Overall, our work provides a unified and parsimonious theoretical account for the disparate empirical data on face ‐ specific processing, deepening the fundamental understanding of face processing. ; This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF‐1231216. Keyword: Artificial Intelligence; Computer vision; Face recognition URL: http://hdl.handle.net/1721.1/100185 BASE Hide details 5 Faces as a "Model Category" for Visual Object Recognition Tan, Cheston; Poggio, Tomaso. - 2013 BASE Show details 6 Learning On-Line from a Few Examples Poggio, Tomaso In: DTIC (2009) BASE Show details 7 Phonetic Classification Using Hierarchical, Feed-forward, Spectro-temporal Patch-based Architectures Rifkin, Ryan; Bouvrie, Jake; Schutte, Ken. - 2007 BASE Show details 8 Phonetic Classification Using Hierarchical, Feed-forward, Spectro-temporal Patch-based Architectures Rifkin, Ryan; Bouvrie, Jake; Schutte, Ken. - 2007 BASE Show details 9 Trainable Videorealistic Speech Animation Ezzat, Tony; Geiger, Gadi; Poggio, Tomaso In: DTIC (2006) BASE Show details 10 General conditions for predictivity in learning theory Poggio, Tomaso; Rifkin, Ryan; Mukherjee, Sayan... In: Nature. - London : Macmillan Publishers Limited, part of Springer Nature 428 (2004) 6981, 419-422 BLLDB Show details 11 High-level learning of early visual tasks Sinha, Pawan; Poggio, Tomaso In: Perceptual learning (Cambridge, Mass, 2002), p. 273-298 MPI für Psycholinguistik Show details 12 Sparse correlation kernel reconstruction and superresolution Papageorgiou, Constantine P.; Girosi, F.; Poggio, Tomaso In: Probabilistic models of the brain (Cambridge, 2002), p. 155-180 MPI für Psycholinguistik Show details 13 Perceptual learning Fahle, Manfred; Poggio, Tomaso. - Cambridge, Mass : MIT Press, 2002 MPI für Psycholinguistik Show details 14 Categorical representation of visual stimuli in the primate prefrontal cortex Freedman, David J.; Riesenhuber, Maximilian; Poggio, Tomaso... In: Science. - Washington, DC : AAAS, American Assoc. for the Advancement of Science 291 (2001) 5502, 312-316 BLLDB Show details 15 Observations on cortical mechanisms for object recognition and learning Poggio, Tomaso A.; Hurlbert, Anya In: Large-scale neuronal theories of the brain (Cambridge, Mass, 1994), p. 153-182 MPI für Psycholinguistik Show details 16 Computation of motion by real neurons Grzywacz, Norberto M.; Poggio, Tomaso In: An introduction to neural and electronic networks (San Diego, 1990), p. 379-407 MPI für Psycholinguistik Show details 17 Making machines (and artificial intelligence) see Hurlbert, Anya; Poggio, Tomaso In: The artificial intelligence debate (Cambridge, Mass., 1988), P. 213-240 MPI für Psycholinguistik Show details

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